KRISHI
ICAR RESEARCH DATA REPOSITORY FOR KNOWLEDGE MANAGEMENT
(An Institutional Publication and Data Inventory Repository)
"Not Available": Please do not remove the default option "Not Available" for the fields where metadata information is not available
"1001-01-01": Date not available or not applicable for filling metadata infromation
"1001-01-01": Date not available or not applicable for filling metadata infromation
Please use this identifier to cite or link to this item:
http://krishi.icar.gov.in/jspui/handle/123456789/42947| Title: | Computational deciphering of biotic stress associated genes in tomato (Solanum lycopersicum) |
| Other Titles: | Not Available |
| Authors: | G. Tandon S. Singh S. Kaur Sarika M. A. Iquebal A. Rai D. Kumar |
| ICAR Data Use Licennce: | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf |
| Author's Affiliated institute: | Jacob School of Biotechnology & Bio-Engineering, SHUAT ICAR::Indian Agricultural Statistics Research Institute |
| Published/ Complete Date: | 2017-12-01 |
| Project Code: | Not Available |
| Keywords: | lycopene pigment ESTs whole genome de novo assembly markers deciphering biotic stress |
| Publisher: | Not Available |
| Citation: | Tandon, G., Singh, S., Kaur, S., Sarika, Iquebal, M.A., Rai, A., Kumar, D. (2017). Computational deciphering of biotic stress associated genes in tomato (Solanum lycopersicum), Genomics Data, 14, 82–90 |
| Series/Report no.: | Not Available; |
| Abstract/Description: | Tomato (Solanum lycopersicum) is one of the major vegetable plant and a model system for fruit development. Its global importance is due to its lycopene pigment which has anti-oxidative and anti-cancerous properties. Though > 1.5 M biotic stress associated ESTs of tomato are available but cumulative analysis to predict genes is warranted. Availability of whole genome de novo assembly can advantageously be used to map them over different chromosome. Further, available 0.14 M catalogued markers can be used to introgress specific desirable genes in varietal improvement program. We report here 57 novel genes associated with biotic stress of tomato along with 50 genes having physical location over different chromosomes. We also report 52 cis-regulating elements and 69 putative miRNAs which are involved in regulation of these biotic stresses associated genes. These putative candidate genes associated with biotic stress can be used in molecular breeding in the endeavor of tomato productivity along with its sustainable germplasm management. |
| Description: | Not Available |
| ISSN: | Not Available |
| Type(s) of content: | Article |
| Sponsors: | Not Available |
| Language: | English |
| Name of Journal: | Genomics Data |
| NAAS Rating: | Not Available |
| Volume No.: | 14 |
| Page Number: | 82-90 |
| Name of the Division/Regional Station: | Not Available |
| Source, DOI or any other URL: | https://doi.org/10.1016/j.gdata.2017.09.003 |
| URI: | http://krishi.icar.gov.in/jspui/handle/123456789/42947 |
| Appears in Collections: | AEdu-IASRI-Publication |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Computational deciphering of biotic stress associated genes in tomato (Solanum lycopersicum).pdf | 904.64 kB | Adobe PDF | View/Open |
Items in KRISHI are protected by copyright, with all rights reserved, unless otherwise indicated.